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MS in Applied Statistics

 Dr. Peter Bajorski, Graduate Program Chair
  (585) 475-7889, pxbeqa@rit.edu

 

 

 

  Rebecca Ziebarth, Graduate Coordinator
  (585) 475-2033, razeqa@rit.edu                                                                                                                                                                                                                                                                                                       

Program overview

The MS program in applied statistics is available to both full- and part-time students. Cooperative education options also are available. Courses in the MS degree are available both on-campus and online, the latter of which is especially appealing to students who are unable to attend classes on campus.

The program is primarily intended for students who do not wish to pursue a degree beyond the MS. However, a number of our students have attained doctorate degrees at other universities.

Curriculum

The program requires 30 credit hours and includes five core courses, four electives, and a capstone project or thesis.

Focus Areas

  • Data Mining 
  • Design of Experiments
  • Engineering Applications
  • Healthcare Applications
  • Imaging Applications of Statistics
  • Industrial Applications of Statistics

Core Courses

There are five required courses. Students, in conjunction with their advisers’ recommendations, should take the core courses early in the program. 

First YearCourseCr. Hrs.

CQAS-611

Statistical Software

3

CQAS-721

Theory of Statistics I

3

CQAS-722

Theory of Statistics II3

CQAS-741

Regression Analysis

3

CQAS-701

Foundations of Experimental Design

3

Typical Course Sequence

For Full Time Students

First YearCourseCr. Hrs

CQAS-611

Statistical Software

3

CQAS-721

Theory of Statistics I

3

CQAS-722

Theory of Statistics II

3

CQAS-741

Regression Analysis

3

CQAS-701

Foundations of Experimental Design

3

 

Elective 1

3

 

Second Year


Elective 2

3

 

Elective 3

3

 

Elective 4

3

CQAS-792

Capstone

3

Total Credit Hours

30

Electives and capstone

Four elective courses are chosen by students with the help of their advisers. These courses are usually department courses but may include (along with transfer credits) up to 6 credit hours from other departments that are consistent with students’ professional objectives.

The required capstone course is designed to ensure that students can integrate the knowledge from their courses to solve more complex problems. This course is taken near the end of a student’s course of study. Students, with adviser approval, may choose to write a thesis as their capstone.

Grades and maximum time limit

Students must maintain an overall program grade-point average of 3.0 (B) for graduation. Course work must be completed within seven years. More details on these requirements may be found in these graduation requirements.

Lean Six-Sigma Black Belt

Students may earn a Lean Six-Sigma Black Belt after obtaining the MS in applied statistics by completing one or two additional courses and by successfully completing an approved Lean Six-Sigma project at the students’ organization or, alternatively, at an organization that will sponsor the student. See Advanced Certificate in Lean Six Sigma for more details.

Lean Six Sigma Black Belt Application Form (please fill out if you are enrolled in CQAS 683 Lean Six Sigma Project).

Admission requirements

To be considered for admission to the MS program in applied statistics, candidates must fulfill the following requirements:

  • Hold a baccalaureate degree from an accredited institution (3.0 GPA strongly recommended),
  • Have a satisfactory background in mathematics (one year of university-level calculus) and statistics (preferably two courses in probability and statistics)
  • Submit official transcripts (in English) of all previously completed undergraduate and graduate course work,
  • Submit a current resume,
  • Submit two letters of recommendation, and
  • Complete a graduate application.

GRE’s are not required, but may be beneficial for some students. International students will need to provide evidence of acceptable English reading, writing, and speaking skills.

International students may require additional English language testing or classes for students who do not meet the minimum required English Language test scores. The minimum TOEFL ibt score for graduate study is 80. The minimum IELTS band score is 6.5 for graduate study.

Course Schedule

The schedule of courses may be found on RIT’s Student Information System

For the broad strategy of course offerings, please see our Schedule of Courses. Students should meet with, or contact, their advisors to fill out a proposed plan of study as soon as possible, and preferably before any coursework has begun. This will define the students’ planned sequences of courses.

Prerequisites

Students should have basic familiarity with MINITAB, SAS, or R statistical software. This may be obtained by self-study; by short courses; or through CQAS-611 Statistical Software, which covers both SAS and R software.

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Rochester, NY 14623-5603
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